Sentence examples for many computational efforts from inspiring English sources

Numerical examples show that confidence robust optimal design can be obtained via the proposed approaches effectively without resorting to too many computational efforts.

As protein domains are functional and structural units of proteins, a large proportion of protein-protein interactions (PPIs) are achieved by domain-domain interactions (DDIs), many computational efforts have been made to identify DDIs from experimental PPIs since high throughput technologies have produced a large number of PPIs for different species.

Ubiquitin binds to over 300 or more targets in the human cell and naturally has been the focus of many experimental and computational efforts to characterize molecular recognition (Meisenberg et al., 2006).

Water molecules play integral roles in the formation of many protein-ligand complexes, and recent computational efforts have been focused on predicting the thermodynamic properties of individual waters and how they may be exploited in rational drug design.

The model reduces the computational efforts of traditional approaches by many orders of magnitude, but with accurate predictions, as validated by experiments and FEA.

By a simulation study, we compared our method to other gene set methods, and we found SNP-PRAGE reduced many false positives notably while requiring much less computational efforts than other permutation-based gene set approaches.

Many types of integration methods, which differ according to the computational efforts required and according to the stiffness of the Initial Value Problem (IVP), are provided.

However, the routine application of those models suffers from large computational efforts, lack of transparency and the requirement of many input parameters.

The first such computational efforts, done by biologists borrowing linguistic data, drew harsh responses from many linguists.

The failure of computational methods to find many functional non-canonical sites cannot rule out the possibility that many of these sites might still exist; if such sites are recognized through unimagined determinants, computational efforts might have missed them.

11– 13 On similar grounds, computational efforts to predict protein protein interactions across human and pathogen(s) of interest have been successfully achieved by many groups 14, 15 as well as by one of our groups earlier.